Engineering of Mind

Albus

ISBN 10: 0471438545 / ISBN 13: 9780471438540

Published by John Wiley & Sons Sep 2001, 2001

About this Item

Neuware - Ein interdisziplinär orientiertes Buch, in dessen Mittelpunkt künstliche intelligente Systeme stehen: Angesprochen werden einerseits die naturwissenschaftlich-technische Seite des Problems, andererseits aber auch philosophische Aspekte. Die gelungene Mischung aus theoretischen und praktischen Informationen zum Design intelligenter Systeme wird durch praxisnahe Beispiele für die technische Umsetzung abgerundet. Ausführlich beschrieben wird das häufig eingesetzte Echtzeit-Steuerungssystem, das am National Institute of Standards & Technology (NIST) entwickelt wurde.

Seller Inventory # 9780471438540

Bibliographic Details

• Title: Engineering of Mind
• Publisher: John Wiley & Sons Sep 2001
• Publication Date: 2001
• Language: English
• ISBN 10: 0471438545
• ISBN 13: 9780471438540
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 28D millimeters 240 millimeters width by 161 millimeters height by 28 millimeters depth
• Weight: 812 grams

About this title

Synopsis

Presenting a reference model architecture for the design of intelligent systems

Engineering of Mind presents the foundations for a computational theory of intelligence. It discusses the main streams of investigation that will eventually converge in a scientific theory of mind and proposes an avenue of research that might best lead to the development of truly intelligent systems.

This book presents a model of the brain as a hierarchy of massive parallel computational modules and data structures interconnected by information pathways. Using this as the basic model on which intelligent systems should be based, the authors propose a reference model architecture that accommodates concepts from artificial intelligence, control theory, image understanding, signal processing, and decision theory. Algorithms, procedures, and data embedded within this architecture would enable the analysis of situations, the formulation of plans, the choice of behaviors, and the computation of uncertainties. The computational power to implement the model can be achieved in practical systems in the foreseeable future through hierarchical and parallel distribution of computational tasks.

The authors' reference model architecture is expressed in terms of the Real-time Control System (RCS) that has been developed primarily at the National Institute of Standards and Technology. Suitable for engineers, computer scientists, researchers, and students, Engineering of Mind blends current theory and practice to achieve a coherent model for the design of intelligent systems.

About the Author

JAMES S. ALBUS is Senior Fellow at the National Institute of Standards and Technology in Gaithersburg, Maryland.

ALEXANDER M. MEYSTEL is Professor of Electrical and Computer Engineering at Drexel University and a guest researcher at the National Institute of Standards and Technology.